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Found 6 papers, 3 papers with code
Neuro-Symbolic AI for Compliance Checking of Electrical Control Panels
In particular, assessing the compliance of a product with the relative schematic is a time-consuming and prone-to-error process.
Modeling Events and Interactions through Temporal Processes -- A Survey
Point Processes provide a natural mathematical framework for modeling these sequences of events.
Cascade-based Echo Chamber Detection
Experiments on synthetic data show that our algorithm is able to correctly reconstruct ground-truth latent communities with their degree of echo-chamber behavior and opinion polarity.
Learning Ideological Embeddings from Information Cascades
Modeling information cascades in a social network through the lenses of the ideological leaning of its users can help understanding phenomena such as misinformation propagation and confirmation bias, and devising techniques for mitigating their toxic effects.
Sequential Variational Autoencoders for Collaborative Filtering
We introduce a recurrent version of the VAE, where instead of passing a subset of the whole history regardless of temporal dependencies, we rather pass the consumption sequence subset through a recurrent neural network.
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Outlying Property Detection with Numerical Attributes
We introduce a measure to quantify the degree the outlierness of an object, which is associated with the relative likelihood of the value, compared to the to the relative likelihood of other objects in the database.
